AI sentiment tracking: how AI describes your brand matters
Sentiment is the hidden metric
Getting mentioned by AI is step one. But HOW AI describes you matters just as much. If ChatGPT says 'Brand X is a popular but expensive option with mixed reviews,' that's a negative signal that costs you customers. Our Deep Intelligence Report at chatcite.com/tools/intelligence-report includes sentiment analysis on every mention — showing you exactly how AI describes your brand across 50 buyer-intent prompts.
What drives AI sentiment
AI sentiment comes from training data. If most online discussions about your brand are negative (bad reviews, complaints on Reddit, critical blog posts), AI will reflect that negativity. Positive sentiment comes from: strong review profiles on G2/TrustPilot, positive press coverage, satisfied customer testimonials, and active community engagement. The good news: sentiment can be improved by addressing the root causes.
How to improve negative AI sentiment
1. Audit your current sentiment with our Intelligence Report. 2. Respond to negative reviews professionally on G2, TrustPilot, and Google Reviews. 3. Encourage happy customers to share positive experiences. 4. Create content that addresses common complaints. 5. Build positive signals through case studies and testimonials. Track your sentiment score monthly — it should improve as you build positive signals.
Check your AI visibility
Free audit across ChatGPT, Claude, Gemini and Perplexity. 60 seconds.
Run free audit